New Relic announced a new, deeply integrated experience for its infrastructure monitoring and APM capabilities that correlates the health and performance of applications and hosts in real-time.
Engineers, DevOps, and ITOps can now quickly diagnose application and infrastructure performance issues, and avoid context switching or missing critical insights due to siloed infrastructure monitoring tools.
New Relic pricing is based on actual usage, eliminates bill shock, and is one-third the cost of competitors. Now organizations can afford to analyze all of their telemetry data without sampling, ensuring they have the necessary data to quickly identify and resolve issues when something breaks.
“Infrastructure monitoring is business-critical for every engineering team in a digital business. It's also an area of ballooning costs and surprise bills as more workloads shift to the cloud and teams enable auto-scaling,” said New Relic Chief Product Officer Manav Khurana. “This release addresses both those concerns by adding best-in-class infrastructure monitoring to easily monitor and debug infrastructure issues, with a unique pricing model that saves customers money compared to other tools on the market.”
New Relic gives users a connected and opinionated observability platform to correlate performance across infrastructure, APM, and the rest of their stack, so they can identify and fix problems before they impact their customers. With host performance directly in APM, users can quickly triage which layer of their stack is causing performance issues. Deep links in APM take them to a brand new infrastructure monitoring experience that includes embedded APM data and is pre-filtered for the service they’re investigating so they can remediate problems faster than ever. And the New Relic pricing model charges only for exact usage and does not charge higher rates for custom metrics or third-party data, resulting in 3x the value compared to other vendors.
Key features include:
- Integrated infrastructure experiences inside APM: View CPU and memory for hosts, containers, and VMs within APM to instantly identify under-provisioned resources that are impacting applications.
- At-a-glance estate view: See the status and count of hosts, applications, and events (dynamically adjusted as data is filtered), along with an alerts activity stream to understand overall system health.
- In-context application health: Dynamic charts provide host- and APM-specific metrics to correlate drops in performance across infrastructure and the applications running on them.
- Embedded change tracking: Analyze how application deployments impact host performance, with change tracking embedded directly in the new infrastructure experience.
- No peak billing and one-third the cost of competitors: Consumption-based pricing, with no additional charges for custom metrics, providing up to 3x the value of competing observability solutions.
The New Relic all-in-one platform with single SKU pricing enables all engineers to access the same data and workflows for better value. New Relic infrastructure monitoring is included at no additional cost to all New Relic full-platform users.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
